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Víctor Sánchez-Cordero

Researcher at National Autonomous University of Mexico

Publications -  136
Citations -  6569

Víctor Sánchez-Cordero is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Population & Ecological niche. The author has an hindex of 37, co-authored 125 publications receiving 5864 citations. Previous affiliations of Víctor Sánchez-Cordero include University of Kansas.

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Identification of Blood Meal Source and Infection with Trypanosoma cruzi of Chagas Disease Vectors Using a Multiplex Cytochrome b Polymerase Chain Reaction Assay

TL;DR: A cytochrome b multiplex polymerase chain reaction (PCR)-based strategy for blood meal source identification in bug foregut contents that discriminates human from animal blood, and has been tested in five Triatoma species from México.
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Current knowledge of Leishmania vectors in Mexico: how geographic distributions of species relate to transmission areas.

TL;DR: This study modeled the ecological niches of nine sand fly species and projected niches to estimate potential distributions by using known occurrences, environmental coverages, and the algorithms GARP and Maxent to provide useful information of potential risk areas of leishmaniasis transmission in Mexico.
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Systematic conservation assessment for the Mesoamerica, Chocó, and Tropical Andes biodiversity hotspots: a preliminary analysis

TL;DR: Using IUCN Red List species as biodiversity surrogates, supplemented with additional analyses based on ecoregional diversity, priority areas for conservation in Mesoamerica, Choco, and the Tropical Andes were identified using the methods of systematic conservation planning as mentioned in this paper.
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Socioeconomic context of land use and land cover change in Mexican biosphere reserves

TL;DR: In this paper, the authors explored the relationships between four estimated land use/land cover change (LULC) parameters for 17 Mexican biosphere reserves (BRs) for 1993-2002 on a GIS platform, and ten socioeconomic factors obtained from census data.

Place prioritization for biodiversity representation using species' ecological niche modeling

TL;DR: In this paper, the authors use point occurrence data and digitized environmental feature maps to predict potential and extant distributions of species in untransformed landscapes, as well as in those transformed by vegetation change (including deforestation), and propose conservation areas by combining nonvolant mammal distributional predictions as biodiversity surrogates with place prioritization procedures.